Introduction
The examination of organisms on earth privides insight into evolutionary and selective breeding processes.
The well-known and widely used iris data set (Fisher’s or Anderson’s) gives the measurements in centimeters of the variables sepal length, sepal width, petal length, and petal width. The data comprise measurements from 50 flowers from each of 3 species of iris. The species are Iris setosa, versicolor, and virginica.
The iris data set is frequently used to demonstrate or practice data manipulation, regression, and machine learning concepts.
The app I have built lets the user visualize the dataset via two interactive plots.
App Location
The app can be accessed here: https://peernisse.shinyapps.io/plotExplorer/
Presentation Source Code
The code for this presentation can be found here:https://github.com/peernisse/dataProducts/blob/gh-pages/Week_4_Assignment/presentation/week4Presentation.Rmd
Examples
Below are examples of the scatter plot and boxplot you can interact with within the app. Within the app, you can select species, select x and y variables for a scatterplot, and select the faceting variable used in the boxplots.
NOTE: While plotly ineraction exists in this presentation, it is not included in the app. The interactivity in the app is contained in the R Shiny code only.
